Signal Processing and Communication for Wireless Sensor Network
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 20 July 2024 | Viewed by 6227
Interests: signal processing; wireless communications; machine learning
With the development of sensors, computing, and wireless communication, there is an increasing demand for the use of wireless sensor networks. In advanced wireless sensor networks, as the number of devices increases and the utilization area expands, the required performance increases, requiring more effective signal processing and communication technologies. Therefore, the design of wireless sensor networks requires consideration in several areas, such as distributed signal processing, wireless communication, machine learning approaches, and cross-layer design. This Special Issue focuses on signal processing and wireless communication used in state-of-the-art wireless sensor networks, and provides readers with a signal processing and communication perspective on network design.
Dr. Gyuyeol Kong
Dr. Younggeun Hong
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- distributed signal processing
- sensing, detection, and estimation in sensor networks
- communication and networking technologies
- cross-layer optimization for sensor networks
- machine learning techniques for sensor networks
- energy-efficient implementation for sensor networks